Results 51 to 60 of about 31,148 (230)

Adaptive neuro-fuzzy inference system-based backcalculation approach to airport pavement structural analysis [PDF]

, 2009
This paper describes the application of adaptive neuro-fuzzy inference system (ANFIS) methodology for the backcalculation of airport flexible pavement layer moduli.
Ceylan, Halil, Ceylan, Halil, Gopalakrishnan, Kasthurirangan   +2 more
core   +3 more sources

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method [PDF]

This paper, we studied the ability of geostatistical models (ordinary kriging (OK) and Inverse distance weighting (IDW)), adaptive neuro-fuzzy inference system (ANFIS) and Winter method for prediction of seasonality in prices of potatoes and onions in ...
Amiri, Arshia, Bakhshoodeh, Mohamad, Najafi, Bahaeddin   +2 more
core   +4 more sources

Indirect active and reactive powers control of doubly fed induction generator fed by three-level adaptive-network-based fuzzy inference system – pulse width modulation converter with a robust method based on super twisting algorithms

Electrical engineering & Electromechanics, 2021
Aim. This paper presents the minimization of reactive and active power ripples of doubly fed induction generators using super twisting algorithms and pulse width modulation based on neuro-fuzzy algorithms. Method. The main role of the indirect active and
H. Benbouhenni, A. Driss, S. Lemdani
doaj   +1 more source

Optimization of a fuzzy logic controller for MR dampers using an adaptive neuro-fuzzy procedure [PDF]

, 2016
Intelligent and adaptive control systems are naturally suitable to deal with dynamic uncertain systems with non-smooth nonlinearities; they constitute an important advantage over conventional control approaches.
Barros, Rui, Braz-César, M.T.
core   +1 more source

Beyond mammals: the evolution of chewing and other forms of oropharyngeal food processing in vertebrates

Biological Reviews, EarlyView.
ABSTRACT Oropharyngeal food processing exhibits a remarkable diversity among vertebrates, reflecting the evolution of specialised ‘processing centres’ associated with the mandibular, hyoid, and branchial arches. Although studies have detailed various food‐processing strategies and mechanisms across vertebrates, a coherent and comprehensive terminology ...
Daniel Schwarz, Maja Mielke, Stephan Handschuh, Anthony Herrel, Patrick Lemell, Léa Da Cunha, Nicolai Konow   +6 more
wiley   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

An adaptive neuro‐fuzzy inference system optimized by genetic algorithm for brain tumour detection in magnetic resonance images

IET Image Processing
An adaptive neuro‐fuzzy inference system is presented which is optimized by a genetic algorithm to classify normal and abnormal brain tumours. The classifier is fast and simple, named genetic algorithm‐adaptive neuro‐fuzzy inference system, and the ...
Marzieh Ghahramani, Nabiollah Shiri
doaj   +1 more source

Novel Intelligence ANFIS Technique for Two-Area Hybrid Power System’s Load Frequency Regulation [PDF]

E3S Web of Conferences
The main objective of Load Frequency Control (LFC) is to effectively manage the power output of an electric generator at a designated site, in order to maintain system frequency and tie-line loading within desired limits, in reaction to fluctuations. The
Nireekshana Namburi, Ramachandran R., Narayana G.V.   +2 more
doaj   +1 more source

Designing full-order sliding mode controller based on ANFIS approximator for uncertain nonlinear chaotic systems [PDF]

International Journal of Industrial Electronics, Control and Optimization, 2019
In this paper, a full-order sliding mode controller, based on adaptive neuro-fuzzy inference system is proposed as approximator, for controlling nonlinear chaotic systems in presence of uncertainty.
Khadijeh Akbari, Behrooz Rezaie, Safa Khari   +2 more
doaj   +1 more source